The Use of Artificial Intelligence (AI) and Drone to Assist with External Wall Inspection for Government Buildings

I&T Solution The Use of Artificial Intelligence (AI) and Drone to Assist with External Wall Inspection for Government Buildings
(REF : S-0670)
Trial Project
Solution Feature
  • Dedicated sensors are installed on the drone to detect the defects on the outer wall of the government building automatically using AI technology.
  • Surfel-based perception technology is implemented on the drone platform to achieve real-time mapping and obstacle avoidance in all directions. Strong anti-wind function is equipped to ensure the stability and safety of the drone, with wind resistance of up to 15m/s and Ingress Protection Rating of IP45.
  • The wireless network function of the drone will support high-speed data transmission and encrypted by the AES-256 encryption to ensure data security.
  • Multiple deep learning models are available to select for detecting different kinds of defects on the building.
Trial Application and Expected Outcome
  • The test trial can be conducted at the government building of EMSD or CYT Building of HKUST, so that staff can test the UAV system and verify its effectiveness.
  • The inspection effect of the solution can be compared with the inspection work done by human.
  • If the inspection effect is similar or better than human does, the UAV based inspection system can be tested at other government building.
  • If the inspection effect is similar or better than human does, the UAV based inspection system can be tested at other government building.
  • The AI algorithm used in this project can detect the defects on the wall automatically so that the worker can conduct the inspection work easily. The advanced AI-based perception algorithm can also guarantee centimeter-level location for the drone, which is better than other drones on the market.
Additional Solution Information Additional information.pdf
Info on I&T Solution Provider
Solution Provider:The Hong Kong Productivity Council
Address:HKPC Building, 78 Tat Chee Avenue, Kowloon Tong
Contact Person:Dr. Ming Ge
Position:General Manager, Robotics and Artificial Intelligence Division
Tel: 27886007
Email: mingge@hkpc.org
Webpage: www.hkpc.org/zh-HK/our-services/a-i-robotics

For details of the above I&T solution, please contact the I&T solution provider.